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On Measuring Bias in Online Information

Abstract : Bias in online information has recently become a pressing issue, with search engines, social networks and recommendation services being accused of exhibiting some form of bias. In this vision paper, we make the case for a systematic approach towards measuring bias. To this end, we discuss formal measures for quantifying the various types of bias, we outline the system components necessary for realizing them, and we highlight the related research challenges and open problems.
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Submitted on : Monday, November 20, 2017 - 11:12:23 AM
Last modification on : Friday, January 21, 2022 - 3:16:17 AM
Long-term archiving on: : Wednesday, February 21, 2018 - 12:53:55 PM


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  • HAL Id : hal-01638069, version 2



Evaggelia Pitoura, Panayiotis Tsaparas, Giorgos Flouris, Irini Fundulaki, Panagiotis Papadakos, et al.. On Measuring Bias in Online Information. SIGMOD record, ACM, 2018, pp.1-6. ⟨hal-01638069v2⟩



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